user_id stringlengths 2 6 | age int64 1 71 | age_group stringclasses 6
values | country_code stringclasses 129
values | country_name stringclasses 129
values | gender stringclasses 2
values | split stringclasses 1
value |
|---|---|---|---|---|---|---|
55612 | 17 | 10s | DE | Germany | male | train |
65859 | 19 | 10s | LT | Lithuania | male | train |
93554 | 20 | 20s | US | United States | female | train |
20281 | 24 | 20s | TR | Turkey | female | train |
50684 | 17 | 10s | UK | United Kingdom | male | train |
47509 | 22 | 20s | IR | Iran | male | train |
12353 | 33 | 30s | DE | Germany | male | train |
4560 | 24 | 20s | SE | Sweden | female | train |
25129 | 21 | 20s | DK | Denmark | male | train |
258 | 31 | 30s | US | United States | female | train |
32778 | 21 | 20s | BR | Brazil | male | train |
8534 | 23 | 20s | AU | Australia | male | train |
43781 | 17 | 10s | PL | Poland | male | train |
15912 | 20 | 20s | NO | Norway | male | train |
3413 | 25 | 20s | US | United States | female | train |
17555 | 23 | 20s | PL | Poland | male | train |
5706 | 29 | 20s | CL | Chile | male | train |
24637 | 28 | 20s | PT | Portugal | male | train |
1951 | 34 | 30s | US | United States | male | train |
38131 | 24 | 20s | PE | Peru | male | train |
2176 | 27 | 20s | US | United States | male | train |
1017 | 28 | 20s | SE | Sweden | male | train |
27776 | 41 | 40s | LT | Lithuania | male | train |
61823 | 19 | 10s | IT | Italy | male | train |
49072 | 21 | 20s | BY | Belarus | male | train |
50551 | 16 | 10s | HR | Croatia | female | train |
10976 | 25 | 20s | RU | Russia | male | train |
68418 | 21 | 20s | US | United States | female | train |
10788 | 44 | 40s | UK | United Kingdom | male | train |
4673 | 24 | 20s | US | United States | male | train |
120057 | 18 | 10s | VN | Vietnam | male | train |
19000 | 21 | 20s | SE | Sweden | female | train |
57714 | 16 | 10s | PL | Poland | male | train |
39734 | 19 | 10s | BR | Brazil | female | train |
3906 | 29 | 20s | US | United States | female | train |
41384 | 21 | 20s | ID | Indonesia | female | train |
27755 | 18 | 10s | BR | Brazil | female | train |
54572 | 23 | 20s | UK | United Kingdom | male | train |
3495 | 26 | 20s | UK | United Kingdom | male | train |
32226 | 52 | 50s | SE | Sweden | male | train |
53958 | 19 | 10s | RU | Russia | male | train |
47728 | 18 | 10s | AU | Australia | male | train |
5648 | 35 | 30s | US | United States | male | train |
70390 | 18 | 10s | UM | U.S. Minor Outlying Islands | male | train |
20362 | 34 | 30s | ES | Spain | male | train |
18155 | 26 | 20s | RU | Russia | female | train |
1826 | 22 | 20s | US | United States | male | train |
9758 | 27 | 20s | CH | Switzerland | male | train |
49842 | 24 | 20s | BR | Brazil | male | train |
75712 | 25 | 20s | NL | Netherlands | female | train |
46177 | 21 | 20s | US | United States | male | train |
2315 | 27 | 20s | DE | Germany | male | train |
2216 | 39 | 30s | US | United States | male | train |
12591 | 28 | 20s | AU | Australia | male | train |
58415 | 17 | 10s | UA | Ukraine | male | train |
29543 | 23 | 20s | US | United States | male | train |
22761 | 22 | 20s | BR | Brazil | male | train |
8698 | 20 | 20s | US | United States | male | train |
71942 | 19 | 10s | AR | Argentina | male | train |
29804 | 26 | 20s | BE | Belgium | male | train |
64331 | 16 | 10s | BR | Brazil | male | train |
6104 | 28 | 20s | US | United States | male | train |
8172 | 21 | 20s | SK | Slovakia | female | train |
9618 | 33 | 30s | ES | Spain | male | train |
87791 | 46 | 40s | NO | Norway | male | train |
46044 | 20 | 20s | PL | Poland | female | train |
89252 | 21 | 20s | UK | United Kingdom | male | train |
16241 | 19 | 10s | UA | Ukraine | male | train |
15520 | 23 | 20s | DE | Germany | male | train |
5838 | 24 | 20s | UA | Ukraine | female | train |
27844 | 21 | 20s | US | United States | male | train |
8582 | 24 | 20s | BR | Brazil | male | train |
2218 | 25 | 20s | US | United States | female | train |
4915 | 33 | 30s | ES | Spain | male | train |
1686 | 27 | 20s | UK | United Kingdom | male | train |
14094 | 26 | 20s | DE | Germany | female | train |
30394 | 22 | 20s | BR | Brazil | male | train |
22432 | 20 | 20s | AT | Austria | male | train |
54270 | 18 | 10s | BR | Brazil | female | train |
26711 | 28 | 20s | PL | Poland | male | train |
29039 | 25 | 20s | US | United States | male | train |
72967 | 24 | 20s | BR | Brazil | male | train |
56072 | 19 | 10s | NL | Netherlands | male | train |
49679 | 30 | 30s | JP | Japan | male | train |
2119 | 25 | 20s | UK | United Kingdom | male | train |
11259 | 22 | 20s | HR | Croatia | female | train |
19442 | 26 | 20s | NL | Netherlands | female | train |
5918 | 24 | 20s | US | United States | female | train |
7699 | 32 | 30s | NL | Netherlands | male | train |
51543 | 20 | 20s | NL | Netherlands | male | train |
31098 | 20 | 20s | PL | Poland | male | train |
63235 | 18 | 10s | RU | Russia | female | train |
11997 | 25 | 20s | US | United States | male | train |
72343 | 22 | 20s | CR | Costa Rica | male | train |
7797 | 22 | 20s | DE | Germany | male | train |
7838 | 25 | 20s | UK | United Kingdom | male | train |
12076 | 31 | 30s | FR | France | male | train |
35901 | 20 | 20s | BR | Brazil | male | train |
53884 | 22 | 20s | BR | Brazil | male | train |
27396 | 26 | 20s | CL | Chile | male | train |
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